Triple
T27459308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother Marianne Cope |
E692686
|
entity |
| Predicate | yearArrivedInHawaii |
P48753
|
FINISHED |
| Object | 1883 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1883 | Statement: [Mother Marianne Cope, yearArrivedInHawaii, 1883]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearArrivedInHawaii Context triple: [Mother Marianne Cope, yearArrivedInHawaii, 1883]
-
A.
dateOfPacificArrival
chosen
Indicates the date on which an entity arrived at a location on or in the Pacific region.
-
B.
yearOfArrivalInNewWorld
Indicates the specific year in which an entity arrived in the New World.
-
C.
dateBecamePartOfUnitedStates
Indicates the date on which an entity formally became part of the United States.
-
D.
settledInYear
Indicates the specific calendar year in which an entity became established, inhabited, or formally settled in a particular place or status.
-
E.
historicalPeriodOfArrival
Indicates the historical time period during which an entity arrived at or first appeared in a particular place or context.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ef5207903881909427745cda05d27a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62dcc3f10819099a0587db9bc9fb2 |
completed | May 2, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 12:49 p.m.